Principal Component Analysis (PCA) for Feature Selection in Python
Instructor: Yasaman Amannejad (Mount Royal University)
This session will introduce principle component analysis (PCA) and will include hands-on examples to identify key features in datasets prior to application of other regression techniques.
Target audience: general
Duration: 1.5 hours
Level: intermediate
Prerequisites: Intermediate knowledge of Python and/or attendance to the Introduction to Python session.
Laptop software: All attendees will need to bring their laptops with wireless access and an installation of Anaconda (free open-source software).